略论20世纪法国人类学思想的嬗变

肇始于迪尔凯姆学派的法国人类学在20世纪取得了辉煌的成就.其思想发展进程可概述如下:首先,马塞尔·莫斯和赫兹提出了"二元分类"思想;其后,列维-斯特劳斯在广泛吸收、综合社会学、人类学和语言学等学科思想的基础上,以"二元对立"的认知结构为核心,建构了结构主义人类学.所有这些成果,对皮埃尔·布迪厄在20世纪60年代的人类学研究产生了重要影响.     

布朗族民族文化资源信息化初探

近年来,云南人口较少民族经济发展与文化保护的矛盾日益凸显,民族地区的文化生境不断遭受破坏;加上人口较少民族的价值观念逐渐发生变化,非物质文化遗产传承人出现断层等问题,人口较少民族文化保护形势严峻。云南布朗族在应用信息化手段保护民族文化方面有很好的实践。布朗文化遗产可数字化资源划分为实体和物质文化遗产与口头和非物质文化遗产两大类。按照三级指标评价模型,结合可数字化文化资源的特点,首先聘请专家依据＂可数字化资源评价赋分标准＂对布朗族民族文化资源进行打分,并采用微积分运算公式计算出三级指标的综合评价值,根据最终评价得分来评判布朗族民族文化资源是否具有可数字化的价值。然后,对文化资源进行数字化采集,综合采用静态数字化技术、动态数字化技术和三维数字技术,按照文本数字化、图像数字化、三维图像建立、虚拟物品制作四个数字化级别来进行信息化处理。     

现代学科分类中的“文学人类学”

从现代学科分类情况来看,"文学人类学"主要被放置在人类学、比较文学、文艺学三个学科里,成为三个学科的亚分支,这反映了"文学人类学"目前的现实状况及地位。本文无意争辩学科从属的问题,而是从知识话语学角度探讨现代学科分类体系对"文学人类学"可能造成的遮蔽性。     

公司运营危机预警模型的比较研究——以中国上市公司为例

研究当前国内外公司运营危机预警问题的现状,首先要寻找一套适合于我国上市公司的财务状况识别指标体系,然后依据该指标体系采用不同方法建立运营危机预警模型,最后利用样本公司实际指标数据对各个模型的短期及中期预警效果进行比较分析与实证研究。结果表明,分类树模型的三年期预警准确率都在80%以上。     

I'm Not a Bad Mother — Stories of Mothering‐on‐the‐Edge

This article is located in the field of custody and day‐to‐day care, with a focus on experiences of mothering where mothers no longer have everyday care of their children. At the time of writing, tens of thousands of mothers live separately from their children in Aotearoa, New Zealand. However, there is a general perception of rarity associated with non‐resident mothers, partly due to their reluctance to speak of loss of custody. In this article, we develop a theoretical discussion around the inside/outside relationships between non‐resident mothers and their children that informs therapeutic practice. We argue that mothers who live apart from their children are situated at the edge or periphery of their children's day‐to‐day lives and experience this as outside the lives of their children. Nevertheless, mothers' stories speak of qualities of (m)othering that have been born of and nurtured by longstanding and long‐term commitment to their children.     

城市空间关系问题研究——以黄冈与武汉城市圈内周边城市空间关系为例

城市化的快速发展使得城市空间关系不断变化,如何准确界定城市空间关系对城市战略选择至关重要。本文在总结前人对城市空间关系研究的基础上,将城市空间关系分为依附型、竞争型、共生型、异质型四种。进而在此基础上以黄冈为案例,研究黄冈与武汉城市圈内周边城市的关系,并提出黄冈的定位和发展战略。     

What influences the size of child maintenance payments? A register‐based study of maintenance payments in Finland

The aim of this study was to explore how particular economic and demographic factors contribute to the level of the child maintenance payment (CMP) paid by the non‐resident parent. For this study, we used 5‐year longitudinal panel data from years 2009 to 2013 consisting of over 80,000 non‐resident parents from the Finnish Tax Administration and The Finnish Population Register Centre. Results from regression models indicate that the single biggest factor affecting the size of CMPs is the number of dependent children. We found that the non‐resident parent's higher income is associated with higher CMPs and that non‐resident fathers pay on average larger CMPs than non‐resident mothers, even after accounting for differences in income. Unexpectedly, we found that the age of the dependent child did not predict changes in CMPs. This suggests that once formal CMP‐contracts are determined between the parents, they are seldom changed. Our results suggest that some degree of mandatory periodic review for maintenance contracts is worth considering.     

Sparse Bayesian variable selection in multinomial probit regression model with application to high-dimensional data classification

Here we consider a multinomial probit regression model where the number of variables substantially exceeds the sample size and only a subset of the available variables is associated with the response. Thus selecting a small number of relevant variables for classification has received a great deal of attention. Generally when the number of variables is substantial, sparsity-enforcing priors for the regression coefficients are called for on grounds of predictive generalization and computational ease. In this paper, we propose a sparse Bayesian variable selection method in multinomial probit regression model for multi-class classification. The performance of our proposed method is demonstrated with one simulated data and three well-known gene expression profiling data: breast cancer data, leukemia data, and small round blue-cell tumors. The results show that compared with other methods, our method is able to select the relevant variables and can obtain competitive classification accuracy with a small subset of relevant genes.     

地方工科院校师资队伍建设中的问题追因及其分类建设探讨

随着大众化高等教育不断深入,地方高校人才培养质量不断受到社会各界高度关注。师资队伍无疑是影响地方高校人才培养质量的关键因素之一,针对当前地方工科院校发展定位特点与师资队伍建设中的实际问题,提出在现有地方高校师资队伍建设与管理体制下,构建教育教学研究型、工程实践指导型、科学研究型、技术研发与转化型四种师资类型,通过评职、考核标准等引导政策制度设计,可为地方工科院校尽早建成一支适应转型发展需要的新型师资队伍提供新思路。     

操纵市场行为的几个基本问题

操纵市场行为的定义、法律性质与分类等基本问题是充分监管、有力处罚和有效预防操纵市场行为的基础性问题。操纵市场行为应当定义为以欺诈致使他人从事证券交易为目的,制造虚假的证券交易或者其他虚假现象的行为。操纵市场行为的法律性质不是垄断、恶意投机,而是证券欺诈。操纵市场行为可分为交易型和非交易型两大类,合同型和行动型操纵市场行为不应成为独立的种类。